Champagne Jin

Results 8 issues of Champagne Jin

Thanks for your work. It helps a lot : ) Could you please add the the derivation process of 'KL divergence between 2 Laplace Distribution'? Thanks you again.

I use `tw.draw_model` to visualize my model. Thank you so much.

enhancement

Thanks for your job! As the title says, however, i cannot download the supplmentary material in your project page anymore. Could you update it or realease a new link?

Thanks again for your work. Can you please provide the training details of the the MOS-S-300wlp model? How did you define the supervision, and what are your training settings?

Thanks again for your work. Since you use flip and multi-scale strategy in testing, I wonder how your model performs when these test tricks are not applied. I ask this...

你好,作者。 在你的代码中,有两处使用了BatchNorm1d,而我在训练过程中发现,随着迭代次数的增加,其统计参数在未知原因下会变成NaN,由于BN的统计参数不影响训练过程,因此训练完全没有异样,但在测试时就会出现问题。 根据我的检查,保存的模型参数中,有且只有BatchNorm1d的统计参数出现了NaN的问题。 请问你是否遇到这类情况?(我可以确保输入不是全0,batchsize不是1)